*** One-Child Policy, Marriage Distortion, and Welfare Loss ***
*** by Wei Huang, Yinghao Pan and Yi Zhou ***

clear all 
set more off
set scheme s1color
cap log close 
graph set window fontface "Times New Roman"

set niceness 10
gl MAIN = "F:\Dropbox"

gl path1 = "$MAIN/Census"
gl path2 = "$MAIN/Marriage/Working_data"
gl path3 = "$MAIN/Marriage/Restat/dataverse_files/Results" 
gl path4 = "$MAIN/Marriage/Restat/dataverse_files/Graphics" 
gl CONTROL = " year_birth sex#age urban_hk prov_hk##c.(year_birth ) "


 
use "$path2/unmarried", clear
keep if relation == 0 | relation == 1 | relation == 2 | relation == 6 

merge 1:1 wave area hhid name relation using "$path2/min_marr_policy", keepusing(marry_1 marry_2 marry_3)


drop if mi(hktype)
replace urban = hktype == 1 
su age 

replace unmarried = unmarried * 100 


gen marry_9 = unmarried == 0 & (mi(marry_1) & mi(marry_2) & mi( marry_3))

recode marry_1 marry_2 marry_3 (. = 0) 

gen HH = marry_1 * 100 
gen HM = marry_2 * 100 
gen MM = marry_3 * 100 
gen Other = marry_9 * 100 
gen HOMO = HH + MM
su HOMO


keep if Other == 0 

append using "$path2/census_00_10_divorce"
gen urban_hk = hktype == 2 
cap gen female = 1-male
cap gen han = 1- minority 

keep if age <= 55 
keep if age > 25
keep if year_birth <= 1980 

su age year_birth urban_hk 

gen divorce = maritus == 4 if !mi(maritus)
gen widow = maritus == 5 if !mi(maritus)

replace divorce = divorce * 100 
replace widow = widow * 100 
gen div_wid = divorce + widow 
egen fine_16_20 = rowmean(fine_16 fine_17 fine_18 fine_19 fine_20)


**** Appendix Table A17 ****

cap erase "$path3/divorce_fine_prov.xls"
cap erase "$path3/divorce_fine_prov.txt"

gl CONTROL = " year_birth sex#age urban_hk prov_hk##c.(year_birth ) "

foreach sample in "1" {
foreach gender in "1" { 
foreach y_var in  "divorce" "widow"  {
foreach policy in "1"   {
foreach eth in  "1" "han" "han == 0"{
foreach age in "16_25"  {
preserve 
keep if `sample' & `policy' & `gender' & `eth'

reghdfe `y_var' fine_`age' [aw = aw], a($CONTROL)  cluster(prov_hk)
su `y_var' [aw = aw]
outreg2 using "$path3/divorce_fine_prov.xls", append bracket addstat(Y, `r(mean)') ctit(`sample' &`y_var' & `policy' & `gender' & `eth') keep(fine_`age') dec(3)

restore


}
}
}
}
}
}


foreach sample in "1" {
foreach gender in "1" { 
foreach y_var in  "divorce" "widow"  {
foreach policy in  "mino_policy == 1"  "mino_policy == 0"  {
foreach eth in  "1" {
foreach age in "16_25"  {
preserve 
keep if `sample' & `policy' & `gender' & `eth'

reghdfe `y_var' fine_`age' [aw = aw], a($CONTROL)  cluster(prov_hk)
su `y_var' [aw = aw]
outreg2 using "$path3/divorce_fine_prov.xls", append bracket addstat(Y, `r(mean)') ctit(`sample' &`y_var' & `policy' & `gender' & `eth') keep(fine_`age') dec(3)

restore


}
}
}
}
}
}

